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Hadoop Architect with ETL & BI
Seattle, WA
Seattle
WA
98199
Date
: Jun-21-21
2021-06-21
2021-06-26
Hadoop Architect with ETL & BI
Seattle, WA
Jun-21-21
Work Authorization
US Citizen
GC
H1B
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
market rate
Duration
:
6 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
x-Other
Consulting / Contract
H1B OK
H1B Sponsorship Available
CONTRACTOR
Required Skills
:
ETL, Hadoop, Business Intelligence, Kubernetes, Python,
SQL
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
OPT EAD, CPT EAD, GC EAD, L2 EAD, H4 EAD, TN EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Architect, Senior, Midlevel
Rate/Salary ($)
:
market rate
Duration
:
6 months
Sp. Area
:
Data Warehousing/ETL
Sp. Skills
:
x-Other
Consulting / Contract
H1B OK
H1B Sponsorship Available
CONTRACTOR
Required Skills
:
ETL, Hadoop, Business Intelligence, Kubernetes, Python,
SQL
Preferred Skills
:
Domain
:
Nityo Infotech
Plainsboro, NJ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
Title – Hadoop Architect with ETL & BI
Location
:
Seattle, WA
JD:
Good understanding of RDBM’s data concepts and unstructured data- Very strong
SQL
/querying skills
Understanding of Hadoop and its components (Impala, Zookeeper…) for creating ETL pipelines and prepare plans for all ETL planning, architecture and procedures
Hands on experience in extraction and transformation of data using ETL tools
Understanding on Docker & Kubernetes
Ability to extract and transform data using Pandas/PySpark
Experience in handling large data sets and on the fly transformations
Hands on working with Python and understands different data structures
Experience coordinating activities across a global team
Continuous process improvement/ Quality experience is a plus
Designing Data Schema normalization techniques to efficiently store data
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